activity
20182023
most citedLanding a UAV in Harsh Winds and Turbulent Open Waters

42 citations · 123 across the 10 of their papers we have counts for

collaborators

18 papers

cs.RO2023★ 42 cited

Landing a UAV in Harsh Winds and Turbulent Open Waters

Parakh M. Gupta, Eric Pairet, Tiago Nascimento +1

Landing an unmanned aerial vehicle unmanned aerial vehicle (UAV) on top of an unmanned surface vehicle (USV) in harsh open waters is a challenging problem, owing to forces that can…

cs.RO2023

Model-Based Underwater 6D Pose Estimation from RGB

Davide Sapienza, Elena Govi, Sara Aldhaheri +5

Object pose estimation underwater allows an autonomous system to perform tracking and intervention tasks. Nonetheless, underwater target pose estimation is remarkably challenging d…

cs.RO2022

Nukhada USV: a Robot for Autonomous Surveying and Support to Underwater Operations

Èric Pairet, Simone Spanò, Nikita Mankovskii +5

The Technology Innovation Institute in Abu Dhabi, United Arab Emirates, has recently finished the production and testing of a new unmanned surface vehicle, called Nukhada, specific…

cs.RO2022

Underwater Robot Manipulation: Advances, Challenges and Prospective Ventures

Sara Aldhaheri, Giulia De Masi, Èric Pairet +1

Underwater manipulation is one of the most remarkable ongoing research subjects in robotics. \acp{I-AUV} not only have to cope with the technical challenges associated with traditi…

cs.RO2021

From market-ready ROVs to low-cost AUVs

Jonatan Scharff Willners, Ignacio Carlucho, Tomasz Łuczyński +10

Autonomous Underwater Vehicles (AUVs) are becoming increasingly important for different types of industrial applications. The generally high cost of (AUVs) restricts the access to…

cs.AI2021

Building Affordance Relations for Robotic Agents - A Review

Paola Ardón, Èric Pairet, Katrin S. Lohan +2

Affordances describe the possibilities for an agent to perform actions with an object. While the significance of the affordance concept has been previously studied from varied pers…

cs.RO2021★ 29 cited

Path Planning for Manipulation using Experience-driven Random Trees

Èric Pairet, Constantinos Chamzas, Yvan Petillot +1

Robotic systems may frequently come across similar manipulation planning problems that result in similar motion plans. Instead of planning each problem from scratch, it is preferab…

cs.RO2020★ 2 cited

Affordance-Aware Handovers with Human Arm Mobility Constraints

Paola Ardón, Maria E. Cabrera, Èric Pairet +4

Reasoning about object handover configurations allows an assistive agent to estimate the appropriateness of handover for a receiver with different arm mobility capacities. While th…

cs.RO2020

Self-Assessment of Grasp Affordance Transfer

Paola Ardón, Èric Pairet, Ronald P. A. Petrick +2

Reasoning about object grasp affordances allows an autonomous agent to estimate the most suitable grasp to execute a task. While current approaches for estimating grasp affordances…

cs.RO2020

Online Mapping and Motion Planning under Uncertainty for Safe Navigation in Unknown Environments

Èric Pairet, Juan David Hernández, Marc Carreras +2

Safe autonomous navigation is an essential and challenging problem for robots operating in highly unstructured or completely unknown environments. Under these conditions, not only…

cs.RO2020★ 23 cited

Affordances in Robotic Tasks -- A Survey

Paola Ardón, Èric Pairet, Katrin S. Lohan +2

Affordances are key attributes of what must be perceived by an autonomous robotic agent in order to effectively interact with novel objects. Historically, the concept derives from…

cs.CY2020★ 17 cited

Robots in the Danger Zone: Exploring Public Perception through Engagement

David A. Robb, Muneeb I. Ahmad, Carlo Tiseo +14

Public perceptions of Robotics and Artificial Intelligence (RAI) are important in the acceptance, uptake, government regulation and research funding of this technology. Recent rese…

cs.RO2019

Learning Generalisable Coupling Terms for Obstacle Avoidance via Low-dimensional Geometric Descriptors

Èric Pairet, Paola Ardón, Michael Mistry +1

Unforeseen events are frequent in the real-world environments where robots are expected to assist, raising the need for fast replanning of the policy in execution to guarantee the…

cs.RO2019

Learning Grasp Affordance Reasoning through Semantic Relations

Paola Ardón, Èric Pairet, Ronald P. A. Petrick +2

Reasoning about object affordances allows an autonomous agent to perform generalised manipulation tasks among object instances. While current approaches to grasp affordance estimat…

cs.RO2019

Reasoning on Grasp-Action Affordances

Paola Ardón, Èric Pairet, Ron Petrick +2

Artificial intelligence is essential to succeed in challenging activities that involve dynamic environments, such as object manipulation tasks in indoor scenes. Most of the state-o…

cs.RO2019

Learning and Composing Primitive Skills for Dual-arm Manipulation

Èric Pairet, Paola Ardón, Michael Mistry +1

In an attempt to confer robots with complex manipulation capabilities, dual-arm anthropomorphic systems have become an important research topic in the robotics community. Most appr…

cs.RO2019★ 10 cited

Learning and Generalisation of Primitives Skills Towards Robust Dual-arm Manipulation

Èric Pairet, Paola Ardón, Frank Broz +2

Robots are becoming a vital ingredient in society. Some of their daily tasks require dual-arm manipulation skills in the rapidly changing, dynamic and unpredictable real-world envi…

cs.RO2018

Testing SPARUS II AUV, an open platform for industrial, scientific and academic applications

Marc Carreras, Carles Candela, David Ribas +6

This paper describes the experience of preparing and testing the SPARUS II AUV in different applications. The AUV was designed as a lightweight vehicle combining the classical torp…